Global water governance and water rights through the prism of Canaan, a slum apart in Haiti
Bibliographic record
Abstract
In Haitian cities, the disorganization of urban planning most often leads to the creation of new human settlements, which lack basic services, such as the provision of drinking water and sanitation. The proliferation of slums has an unfavorable effect on the hydrological cycle by reducing the permeabilized surfaces, causing significant disturbances in the recharge of groundwater. Furthermore, the impact of global changes on cities today is causing water scarcity, which makes it difficult to manage water resources effectively. Taken in the prism of environmental conditions and the way in which the metropolitan area of Port-au-Prince is to be developed, this situation not only deprives the populations of the slums of this vital element, but also violates one of their fundamental rights "the right to water and sanitation". Canaan, a human establishment created following the earthquake of January 12, 2010 by presidential decree, and inhabited by the victims of this event, constitutes in itself a real field laboratory allowing the veracity of such an assertion to be tested. The objective of this work is to analyze in the light of the major trends in global water governance, the right to water, one of the fundamental human rights, in Canaan.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".